GitLab
Site Reliability Engineer, Intermediate to Senior Staff — Infrastructure Platforms
Rol remoto de Platforms Engineering con fit claro de ubicación del candidato.
PublicadoAgregado recientemente
Países elegibles59 países aceptados
Señal de seniorityLead
Modelo de trabajoRemoto
Ubicaciones aceptadas para candidatos
Resumen del rol
Site Reliability Engineer, Intermediate to Senior Staff — Infrastructure Platforms
Requisitos y responsabilidades
Contenido del rol extraído en secciones para revisar más rápido.
Details
- Recruiter Screen: A conversation about your background, what you're looking for, and the level and teams that fit, so we can point your process in the right direction.
- Core Technical: The shared assessment every SRE candidate takes, regardless of eventual team. A low-stress, collaborative discussion covering source code, system architecture, and incident review.
- Peer Technical: Team-specific depth, run by SREs from the team you're most likely to join, focused on the problems that team actually works on.
- Hiring Manager Interview: A conversation about ownership, judgment, execution, collaboration, and growth, the non-technical signals that make an SRE effective at GitLab.
- Skip-Level Interview: A conversation with a senior leader on values alignment, and how you'll work across teams.
- You make meaningful contributions to reliability, automation, and operational efficiency, working independently within a scoped area
- You diagnose issues on your own, understand system dependencies, and can explain the tradeoffs you made
- You prioritize well, break work into manageable steps, and use automation to reduce toil
- You document your work clearly and keep yourself moving without needing check-ins
- You drive reliability improvements across multiple projects or services and prioritize them based on real system needs
- You lead investigations, anticipate cascading failures, and coordinate incident response
- You own delivery end to end, unblock others, and improve the patterns your team works by
- You communicate complex ideas clearly, influence how work gets done, and enable coordination across teams
- You shape reliability strategy across teams and services and define patterns that others reuse
- You introduce prevention strategies, identify systemic weaknesses, and influence incident response practices beyond your immediate area
- You design execution and automation approaches that work at organizational scale
- You connect reliability work to platform and business needs
- You set technical direction for reliability across a sub-department, not just a team
- You drive the hardest, most ambiguous systems problems and establish standards and guardrails that multiple teams adopt
- You mentor Staff and Senior engineers
- You align reliability strategy with long-range platform direction and represent Infrastructure's interests across the wider Engineering organization
- Keep user-facing services and production systems reliable, scalable, and efficient
- Build automation and tooling that reduces toil and replaces manual work with repeatable, infrastructure-as-code-driven workflows
- Operate and troubleshoot production systems on Kubernetes, including deployments, rollouts, and scaling
- Write and maintain infrastructure as code, and ship changes safely through CI/CD and GitOps
- Participate in on-call, triage alerts, follow and improve runbooks, and escalate appropriately
- Contribute to the observability stack, using metrics, logs, and SLOs to detect symptoms early rather than just outages
- Take part in incident response and post-incident reviews, turning learnings into changes in automation and process
- Document runbooks, architecture decisions, and reviews so your findings become repeatable practices
- Experience keeping production systems reliable, combining an operations mindset with real software engineering practice
- Experience building net-new infrastructure tooling and automation, not just configuring existing tools. For example, Terraform modules, Kubernetes operators or controllers, or production automation and services written from scratch
- The ability to read, debug, and reason about code. Most of our teams work in Go; some work in Ruby. You can discuss a piece of code's behavior, performance, and failure modes
- Experience with infrastructure as code, and with Kubernetes and its ecosystem, at a depth appropriate to your level
- Hands-on experience with at least one major cloud provider (GCP or AWS)
- Familiarity with observability practices, including metrics, logging, alerting, and SLOs or SLIs, and using data to inform operational decisions
- Comfort participating in on-call and incident response, with a structured approach to troubleshooting under pressure
- Strong written communication and the ability to operate as a manager-of-one in an async, distributed environment
- A track record of using automation, and increasingly AI, to reduce toil and improve how you and your team work
- Alignment with GitLab's values and a commitment to working in accordance with them
How GitLab Supports Full-Time Employees
- Benefits to support your health, finances, and well-being
- Flexible Paid Time Off
- Team Member Resource Groups
- Equity Compensation & Employee Stock Purchase Plan
- Growth and Development Fund
- Parental Leave
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